English
Tamil Nadu Board of Secondary EducationHSC Commerce Class 12

Choose the correct alternative: A variable which can assume finite or countably infinite number of values is known as - Business Mathematics and Statistics

Advertisements
Advertisements

Question

Choose the correct alternative: 

A variable which can assume finite or countably infinite number of values is known as

Options

  • continuous

  • discrete

  • qualitative

  • none of them

MCQ
Advertisements

Solution

discrete

shaalaa.com
Random Variable
  Is there an error in this question or solution?
Chapter 6: Random Variable and Mathematical expectation - Exercise 6.3 [Page 143]

APPEARS IN

Samacheer Kalvi Business Mathematics and Statistics [English] Class 12 TN Board
Chapter 6 Random Variable and Mathematical expectation
Exercise 6.3 | Q 21 | Page 143

RELATED QUESTIONS

An urn contains 5 mangoes and 4 apples. Three fruits are taken at random. If the number of apples taken is a random variable, then find the values of the random variable and number of points in its inverse images


The distribution of a continuous random variable X in range (– 3, 3) is given by p.d.f.
f(x) = `{{:(1/16(3 + x)^2",", - 3 ≤ x ≤ - 1),(1/16(6 - 2x^2)",", - 1 ≤ x ≤ 1),(1/16(3 - x)^2",", 1 ≤ x ≤ 3):}`
Verify that the area under the curve is unity.


Suppose that the time in minutes that a person has to wait at a certain station for a train is found to be a random phenomenon with a probability function specified by the distribution function

F(x) = `{{:(0",",  "for"  x ≤ 0),(x/2",",  "for"  0 ≤ x < 1),(1/2",",  "for" ≤ x < 2),(x/4",",  "for"  2 ≤ x < 4),(1",",  "for"  x ≥ 4):}` 
Is the distribution function continuous? If so, give its probability density function?


Define dicrete random Variable


Explain the terms probability Mass function


Choose the correct alternative: 

If the random variable takes negative values, then the negative values will have


Choose the correct alternative: 

Which one is not an example of random experiment?


Choose the correct alternative: 

The probability density function p(x) cannot exceed


Let X be a random variable with a cumulative distribution function.
F(x) = `{{:(0",",  "if"  x  < 0),(x/8",",  "if"  0 ≤ x ≤ 1),(1/4 + x/8",",  "if"  1 ≤ x ≤ 2),(3/4 + x/12",",  "if"  2 ≤ x < 3),(1",",  "for"  3 ≤ x):}`
Compute: (i) P(1 ≤ X ≤ 2) and (ii) P(X = 3)


The probability density function of a continuous random variable X is
f(x) = `{{:(a + bx^2",",  0 ≤ x ≤ 1),(0",",  "otherwise"):}`
where a and b are some constants. Find Var(X)


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×